Data Engineer
Data Engineer
Capgemini (BENGALURU, KARNATAKA, India )
Data Engineer job in Capgemini . Data engineers provide frameworks that prepare information for use by data scientists using a variety of tools and approaches. Among the most popular programming languages used by data engineers are Python, Java, R, and C++.
To support the work of our data scientists, we are seeking a responsible, multi-skilled data engineer. While staying up to date with prevalent programming and deployment tactics in the industry, the data engineer will be in charge of using machine learning techniques to build and maintain structures that enable data analysis. You should work with colleagues on different parts of this process to make sure your strategy fits the requirements of each project.
Skills set Required for this Job :
- Expert knowledge in Python
- Expert knowledge in popular machine learning libraries and frameworks, such as TensorFlow, Keras, scikit-learn.
- Proficient understanding and application of clustering algorithms (e.g., K-means, hierarchical clustering) for grouping similar data points.
- Expertise in classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition
- Natural language Processing and recommendation systems.
- Proficiency in working with databases, both relational and non-relational like MySQL with experience in designing database schemas
- And optimizing queries for Efficient data retrieval.
- Strong knowledge in areas like Object Oriented Analysis and Design, Multi-threading, Multi process handling and Memory management.
- Good knowledge model evaluation metrics and techniques.
- Experience in deploying machine learning models to production environments.
- Currently working in an Agile scrum team and proficient in using version control systems (e.g., Git) for collaborative development.
Job Responsibilities
- communicating with clients and coworkers to clarify the specifications for each task.
- conceiving and building the infrastructure necessary to access and analyze massive data.
- restructuring current frameworks to improve how well they work.
- To make sure such structures are suitable for use, test them.
- preparing unprocessed data so that data scientists may work with it.
- identifying and fixing mistakes in your work.
- ensuring that appropriate colleagues can easily access and maintain a backup of your work.
- keeping abreast of technical developments and industry standards to enhance the caliber of your deliverables.
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What are the important dates & deadlines?
Application Deadline
ASAP
Additional Information
Job Location(s)
BENGALURU, KARNATAKA, India
Experience
Freshers 0 to 2 years
Salary
Best in industry
Job Type/Timing
Job Type: In Office Job Timing: Full Time
